PDF link target=_blank + nginx timeouts + priority filteri (samo s podacima)

nginx (sport.rinet.one):
- proxy_read_timeout 60s → 300s
- proxy_send_timeout 300s
- proxy_buffering off (PDF stream)
- client_max_body_size 50M → 100M

Endpoints:
- /api/v2/klubovi/financirani: +with_data filter (samo s potporama/godišnjakom/HNS)
- /api/v2/sportasi/filtered: +samo_priority +samo_s_hns

Frontend:
- PDF link target=_blank rel=noopener
- window._klub_only_priority = true (default)
- window._sportas_only_priority = true (default)

DB View:
- pgz_sport.v_nogomet_priority (prima_potpore, u_godisnjaku, ima_hns_roster)

scrapers/trener_extractor.py

@@ -57,9 +57,9 @@ def main():
     
     # Source 1: pgz_sport.dokumenti (tekst column)
     cur.execute("""
-        SELECT klub_id, naziv_dokumenta, COALESCE(tekst, '') AS tekst
+        SELECT id, COALESCE(title, '') AS title, COALESCE(sadrzaj, '') AS tekst
         FROM pgz_sport.dokumenti
-        WHERE COALESCE(tekst, '') != '' AND length(tekst) > 200
+        WHERE COALESCE(sadrzaj, '') != '' AND length(sadrzaj) > 200
     """)
     docs = cur.fetchall()
     print(f"Documents to scan: {len(docs)}")
@@ -71,7 +71,7 @@ def main():
         found = extract_trainers_from_text(d.get("tekst", ""))
         for name, cnt in found.items():
             all_trainers[name] += cnt
-            trainer_clubs.setdefault(name, set()).add(d.get("klub_id"))
+            trainer_clubs.setdefault(name, set()).add(d.get("id"))
     
     print(f"Unique trainer names found: {len(all_trainers)}")
     print(f"Top 20 by mentions:")